- Home
- A-Z Publications
- Current Topics in Medicinal Chemistry
- Previous Issues
- Volume 22, Issue 20, 2022
Current Topics in Medicinal Chemistry - Volume 22, Issue 20, 2022
Volume 22, Issue 20, 2022
-
-
The Role of Water Network Chemistry in Proteins: A Structural Bioinformatics Perspective in Drug Discovery and Development
Background: Although water is regarded as a simple molecule, its ability to create hydrogen bonds makes it a highly complex molecule that is crucial to molecular biology. Water molecules are extremely small and are made up of two different types of atoms, each of which plays a particular role in biological processes. Despite substantial research, understanding the hydration chemistry of protein-ligand complexes Read More
-
-
-
An Overview Regarding Pharmacogenomics and Biomarkers Discovery: Focus on Breast Cancer
Breast cancer represents a health concern worldwide for being the leading cause of cancer- related women's death. The main challenge for breast cancer treatment involves its heterogeneous nature with distinct clinical outcomes. It is clinically categorized into five subtypes: luminal A; luminal B, HER2-positive, luminal-HER, and triple-negative. Despite the significant advances in the past decades, critical issues involving the dev Read More
-
-
-
Next-generation Bruton’s Tyrosine Kinase (BTK) Inhibitors Potentially Targeting BTK C481S Mutation- Recent Developments and Perspectives
Authors: Debasis Das, Jingbing Wang and Jian HongBruton’s tyrosine kinase (BTK) plays a vital role in B-cell antigen receptor (BCR) signalling transduction pathway. Controlling BCR signalling by BTK inhibitors is a promising therapeutic approach for the treatment of inflammatory and autoimmune diseases. Since the approval of ibrutinib for the treatment of different haematological cancers in 2013, great efforts have been made to explore new BTK inhibitors. Despite the remark Read More
-
-
-
Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery
Authors: Purvashi Pasrija, Prakash Jha, Pruthvi Upadhyaya, Mohd. S. Khan and Madhu ChopraBackground: The lengthy and expensive process of developing a novel medicine often takes many years and entails a significant financial burden due to its poor success rate. Furthermore, the processing and analysis of quickly expanding massive data necessitate the use of cutting-edge methodologies. As a result, Artificial Intelligence-driven methods that have been shown to improve the efficiency and accuracy of drug d Read More
-
Volumes & issues
-
Volume 25 (2025)
-
Volume 24 (2024)
-
Volume 23 (2023)
-
Volume 22 (2022)
-
Volume 21 (2021)
-
Volume 20 (2020)
-
Volume 19 (2019)
-
Volume 18 (2018)
-
Volume 17 (2017)
-
Volume 16 (2016)
-
Volume 15 (2015)
-
Volume 14 (2014)
-
Volume 13 (2013)
-
Volume 12 (2012)
-
Volume 11 (2011)
-
Volume 10 (2010)
-
Volume 9 (2009)
-
Volume 8 (2008)
-
Volume 7 (2007)
-
Volume 6 (2006)
-
Volume 5 (2005)
-
Volume 4 (2004)
-
Volume 3 (2003)
-
Volume 2 (2002)
-
Volume 1 (2001)
Most Read This Month
Article
content/journals/ctmc
Journal
10
5
false
en
